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Real-time planning and control using a digital twin
- Project
- 19027 AIToC
- Type
- New product
- Description
A vision system that dynamically updates a digital twin model for effective object tracking in factory environments. This system, coupled with a novel scheduling approach for mobile robots using digital twin data, has been successfully tested in AB Volvo's pilot plant and has demonstrated its effectiveness in real production settings by allowing mobile robots operating in a flexible environment with humans.
- Contact
- Kristofer Bengtsson (AB Volvo), Knut Åkesson (Chalmers)
- kristofer.bengtsson@volvo.com
- Research area(s)
- Extraction of knowledge and process information from experience & data
- Technical features
Real-time update of digital twin using vision. Semantic segmentation. Forecasting.
- Integration constraints
Custom implementation.
- Targeted customer(s)
Logistic applications using mobile robots
- Conditions for reuse
Not decided.
- Confidentiality
- Public
- Publication date
- 19-01-2024
- Involved partners
- Volvo (SWE)
- University of Technology Chalmers (SWE)